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Research Output 2000 2020

2019

A Logistic Factorization Model for Recommender Systems With Multinomial Responses

Wang, Y., Bi, X. & Qu, A., Jan 1 2019, (Accepted/In press) In : Journal of Computational and Graphical Statistics.

Research output: Contribution to journalArticle

Recommender Systems
Logistics
Factorization
Categorical
Matrix Completion

Individualized Multilayer Tensor Learning With an Application in Imaging Analysis

Tang, X., Bi, X. & Qu, A., Jan 1 2019, In : Journal of the American Statistical Association.

Research output: Contribution to journalArticle

Multilayer
Tensor
Multimodality
Imaging
Breast Cancer

Longitudinal Principal Component Analysis With an Application to Marketing Data

Kinson, C., Tang, X., Zuo, Z. & Qu, A., Jan 1 2019, (Accepted/In press) In : Journal of Computational and Graphical Statistics.

Research output: Contribution to journalArticle

Longitudinal Analysis
Principal Component Analysis
Random Effects
Decompose
Multivariate Data

Smooth neighborhood recommender systems

Dai, B., Wang, J., Shen, X. & Qu, A., Feb 1 2019, In : Journal of Machine Learning Research. 20

Research output: Contribution to journalArticle

Recommender Systems
Recommender systems
Covariates
Alternating Least Squares
Pooling

Time-varying feature selection for longitudinal analysis

Xue, L., Shu, X., Shi, P., Wu, C. O. & Qu, A., Jan 1 2019, (Accepted/In press) In : Statistics in Medicine. 39, 2, p. 156-170 15 p.

Research output: Contribution to journalArticle

Longitudinal Analysis
Model Selection
Feature Selection
Time-varying
National Heart, Lung, and Blood Institute (U.S.)
2018

A mixed-effects estimating equation approach to nonignorable missing longitudinal data with Refreshment samples

Bi, X. & Qu, P., Oct 2018, In : Statistica Sinica. 28, 4, p. 1653-1675 23 p.

Research output: Contribution to journalArticle

Mixed Effects
Estimating Equation
Longitudinal Data
Missing Data
Nonignorable Missing Data

Cluster analysis of longitudinal profiles with subgroups

Zhu, X. & Qu, A., Jan 1 2018, In : Electronic Journal of Statistics. 12, 1, p. 171-193 23 p.

Research output: Contribution to journalArticle

Cluster Analysis
Subgroup
Number of Clusters
Method of multipliers
Unbalanced Data

Multilayer tensor factorization with applications to recommender systems

Bi, X., Qu, A. & Shen, X., Jan 1 2018, In : Annals of Statistics. 46, 6B, p. 3308-3333 26 p.

Research output: Contribution to journalArticle

Recommender Systems
Multilayer
Factorization
Tensor
Recommendations

Radioactive Seed Localization Versus Wire Localization for Nonpalpable Breast Lesions: A Two-Year Initial Experience at a Large Community Hospital

Stelle, L., Schoenheit, T., Brubaker, A., Tang, X., Qu, P., Cradock, K. A. & Higham, A. M., Jan 1 2018, In : Annals of Surgical Oncology. 25, 1, p. 131-136 6 p.

Research output: Contribution to journalArticle

Community Hospital
Seeds
Breast
Segmental Mastectomy
Operating Rooms

Time-varying correlation structure estimation and local-feature detection for spatio-temporal data

Zheng, X., Xue, L. & Qu, P., Nov 2018, In : Journal of Multivariate Analysis. 168, p. 221-239 19 p.

Research output: Contribution to journalArticle

Feature Detection
Spatio-temporal Data
Local Features
Correlation Structure
Time-varying
2017

A Group-Specific Recommender System

Bi, X., Qu, P., Wang, J. & Shen, X., Jul 3 2017, In : Journal of the American Statistical Association. 112, 519, p. 1344-1353 10 p.

Research output: Contribution to journalArticle

Recommender Systems
Backfitting Algorithm
Alternating Least Squares
Competitive System
User Preferences

Automatic tagging with existing and novel tags

Wang, J., Shen, X., Sun, Y. & Qu, A., Jun 1 2017, In : Biometrika. 104, 2, p. 273-290 18 p.

Research output: Contribution to journalArticle

Tagging
Linguistics
Labels
Margin
Pairwise

Personalize treatment for longitudinal data using unspecified random-effects model

Cho, H., Wang, P. & Qu, A., Jan 2017, In : Statistica Sinica. 27, 1, p. 187-205 19 p.

Research output: Contribution to journalArticle

Random Effects Model
Longitudinal Data
Random Effects
Treatment Effects
Estimator

Semiparametric estimating equations inference with nonignorable missing data

Zhao, P., Tang, N., Qu, A. & Jiang, D., Jan 2017, In : Statistica Sinica. 27, 1, p. 89-113 25 p.

Research output: Contribution to journalArticle

Nonignorable Missing Data
Propensity Score
Estimating Equation
Imputation
Missing at Random

Weak signal identification and inference in penalized model selection

Shi, P. & Qu, A., Jun 2017, In : Annals of Statistics. 45, 3, p. 1214-1253 40 p.

Research output: Contribution to journalArticle

Model Selection
Asymptotic Inference
Drug Resistance
Two-step Method
Resampling

Word segmentation in Chinese language processing

Shu, X., Wang, J., Shen, X. & Qu, A., Jan 1 2017, In : Statistics and its Interface. 10, 2, p. 165-173 9 p.

Research output: Contribution to journalArticle

Labels
Segmentation
Processing
Internet
Statistical Learning
2016

Classification With Unstructured Predictors and an Application to Sentiment Analysis

Wang, J., Shen, X., Sun, Y. & Qu, A., Jul 2 2016, In : Journal of the American Statistical Association. 111, 515, p. 1242-1253 12 p.

Research output: Contribution to journalArticle

Sentiment Analysis
Predictors
Classifier
Linear Constraints
Vertex of a graph

Correlation structure selection for longitudinal data with diverging cluster size

Wang, P., Zhou, J. & Qu, P., Sep 1 2016, In : Canadian Journal of Statistics. 44, 3, p. 343-360 18 p.

Research output: Contribution to journalArticle

Correlation Structure
Longitudinal Data
Correlation Matrix
Likelihood Function
Oracle Property
Self Report
Weights and Measures
Health
Obesity
Research

Individualizing drug dosage with longitudinal data

Zhu, X. & Qu, P., Oct 30 2016, In : Statistics in Medicine. 35, 24, p. 4474-4488 15 p.

Research output: Contribution to journalArticle

Longitudinal Data
Random Effects
Drugs
Pharmaceutical Preparations
Stochastic Processes

Mixture Modeling for Longitudinal Data

Tang, X. & Qu, A., Oct 1 2016, In : Journal of Computational and Graphical Statistics. 25, 4, p. 1117-1137 21 p.

Research output: Contribution to journalArticle

Mixture Modeling
Estimating Equation
Longitudinal Data
Mixture Model
Mixture of Experts
2015

Diagnosis of Basal-Like Breast Cancer Using a FOXC1-Based Assay

Jensen, T. W., Ray, T., Wang, J., Li, X., Naritoku, W. Y., Han, B., Bellafiore, F., Bagaria, S. P., Qu, A., Cui, X., Taylor, C. R. & Ray, P. S., Aug 1 2015, In : Journal of the National Cancer Institute. 107, 8, djv148.

Research output: Contribution to journalArticle

Breast Neoplasms
Area Under Curve
Real-Time Polymerase Chain Reaction
Gene Expression
Paraffin

Efficient estimation for longitudinal data by combining large-dimensional moment conditions

Cho, H. & Qu, A., Jan 1 2015, In : Electronic Journal of Statistics. 9, p. 1315-1334 20 p.

Research output: Contribution to journalArticle

Moment Conditions
Efficient Estimation
Longitudinal Data
Efficient Estimator
Consistent Estimator

Estimating and Identifying Unspecified Correlation Structure for Longitudinal Data

Hu, J., Wang, P. & Qu, A., Apr 3 2015, In : Journal of Computational and Graphical Statistics. 24, 2, p. 455-476 22 p.

Research output: Contribution to journalArticle

Correlation Structure
Correlation Matrix
Longitudinal Data
Eigenvector
Oracle Property

Sufficient dimension reduction for longitudinal data

Bi, X. & Qu, A., Apr 2015, In : Statistica Sinica. 25, 2, p. 787-807 21 p.

Research output: Contribution to journalArticle

Sufficient Dimension Reduction
Longitudinal Data
Central Subspace
Correlation Structure
Dimension Reduction
2014

Efficient classification for longitudinal data

Wang, X. & Qu, A., Oct 2014, In : Computational Statistics and Data Analysis. 78, p. 119-134 16 p.

Research output: Contribution to journalArticle

Longitudinal Data
Classifiers
Classifier
Naive Bayes Classifier
Functional Data

Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates

Wang, L., Xue, L., Qu, A. & Liang, H., Apr 2014, In : Annals of Statistics. 42, 2, p. 592-624 33 p.

Research output: Contribution to journalArticle

Partial Linear Model
Correlated Data
Model Selection
Covariates
Estimator
2013

Model selection for correlated data with diverging number of parameters

Cho, H. & Qu, A., Apr 1 2013, In : Statistica Sinica. 23, 2, p. 901-927 27 p.

Research output: Contribution to journalArticle

Correlated Data
Model Selection
Covariates
Oracle Property
Clustered Data

Pulmonary disease after treatment for wilms tumor: A report from the national wilms tumor long-term follow-up study

Green, D. M., Lange, J. M., Qu, A., Peterson, S. M., Kalapurakal, J. A., Stokes, D. C., Grigoriev, Y. A., Takashima, J. R., Norkool, P., Friedman, D. L. & Breslow, N. E., Oct 1 2013, In : Pediatric Blood and Cancer. 60, 10, p. 1721-1726 6 p.

Research output: Contribution to journalArticle

Wilms Tumor
Lung Diseases
Radiotherapy
Lung
Neoplasm Metastasis
2012

Conditional inference functions for mixed-effects models with unspecified random-effects distribution

Wang, P., Tsai, G. F. & Qu, A., Aug 2 2012, In : Journal of the American Statistical Association. 107, 498, p. 725-736 12 p.

Research output: Contribution to journalArticle

Conditional Inference
Mixed Effects Model
Random Effects
Fixed Effects
Estimator

Informative estimation and selection of correlation structure for longitudinal data

Zhou, J. & Qu, A., Aug 2 2012, In : Journal of the American Statistical Association. 107, 498, p. 701-710 10 p.

Research output: Contribution to journalArticle

Correlation Structure
Longitudinal Data
Correlation Matrix
Penalty
Empirical Estimator

Penalized Generalized Estimating Equations for High-Dimensional Longitudinal Data Analysis

Wang, L., Zhou, J. & Qu, A., Jun 1 2012, In : Biometrics. 68, 2, p. 353-360 8 p.

Research output: Contribution to journalArticle

Longitudinal Data Analysis
Generalized Estimating Equations
High-dimensional Data
Likelihood Functions
data analysis

Variable selection in high-dimensional varying-coefficient models with global optimality

Xue, L. & Qu, P., Jun 2012, In : Journal of Machine Learning Research. 13, p. 1973-1998 26 p.

Research output: Contribution to journalArticle

Varying Coefficient Model
Global Optimality
Varying Coefficients
Variable Selection
Covariates
2011

Assessing the validity of weighted generalized estimating equations

Qu, P., Yi, G. Y., Song, P. X. K. & Wang, P., Mar 1 2011, In : Biometrika. 98, 1, p. 215-224 10 p.

Research output: Contribution to journalArticle

Weighted Estimating Equations
Generalized Estimating Equations
Parameter estimation
Songbirds
Testing
2010

Consistent model selection for marginal generalized additive model for correlated data

Xue, L., Qu, A. & Zhou, J., Dec 1 2010, In : Journal of the American Statistical Association. 105, 492, p. 1518-1530 13 p.

Research output: Contribution to journalArticle

Generalized Additive Models
Correlated Data
Model Selection
Consistent Estimation
Statistical Power

Highly efficient aggregate unbiased estimating functions approach for correlated data with missing at random

Qu, P., Lindsay, B. G. & Lu, L., Mar 1 2010, In : Journal of the American Statistical Association. 105, 489, p. 194-204 11 p.

Research output: Contribution to journalArticle

Missing at Random
Correlated Data
Estimating Function
Weighted Estimating Equations
Marginal Model

Incorporating correlation for multivariate failure time data when cluster size is large

Xue, L., Wang, L. & Qu, A., Jun 1 2010, In : Biometrics. 66, 2, p. 393-404 12 p.

Research output: Contribution to journalArticle

Multivariate Failure Times
Failure Time Data
Multivariate Data
Intracluster Correlation
Weighted Estimating Equations
2009

At-harvest prediction of grey mould risk in pear fruit in long-term cold storage

Spotts, R. A., Serdani, M., Wallis, K. M., Walter, M., Harris-Virgin, T., Spotts, K., Sugar, D., Xiao, C. L. & Qu, P., May 1 2009, In : Crop Protection. 28, 5, p. 414-420 7 p.

Research output: Contribution to journalArticle

cold storage
pears
fruits
prediction
orchards
Smooth Test
Estimating Equation
Longitudinal Data
Data-driven
Model Selection

Quadratic inference functions in marginal models for longitudinal data

Song, P. X. K., Jiang, Z., Park, E. & Qu, A., Dec 20 2009, In : Statistics in Medicine. 28, 29, p. 3683-3696 14 p.

Research output: Contribution to journalArticle

Marginal Model
Longitudinal Data
Longitudinal Data Analysis
Generalized Estimating Equations
Goodness of Fit Test
2008

Efficient estimation for patient-specific rates of disease progression using nonnormal linear mixed models

Zhang, P., Song, P. X. K., Qu, A. & Greene, T., Mar 1 2008, In : Biometrics. 64, 1, p. 29-38 10 p.

Research output: Contribution to journalArticle

Diet Therapy
Linear Mixed Model
Efficient Estimation
Progression
disease course

Model diagnostic tests for selecting informative correlation structure in correlated data

Qu, P., Lee, J. J. & Lindsay, B. G., Dec 1 2008, In : Biometrika. 95, 4, p. 891-905 15 p.

Research output: Contribution to journalArticle

Model Diagnostics
Correlated Data
Estimating Function
Diagnostic Tests
Correlation Structure
Cell Cycle
Microarrays
Microarray Data
Genes
Cells
2007

Long-term continuous cropping in the Pacific Northwest: Tillage and fertilizer effects on winter wheat, spring wheat, and spring barley production

Machado, S., Petrie, S., Rhinhart, K. & Qu, P., Jun 1 2007, In : Soil and Tillage Research. 94, 2, p. 473-481 9 p.

Research output: Contribution to journalArticle

continuous cropping
spring barley
spring wheat
barley
tillage

Maximum likelihood inference in robust linear mixed-effects models using multivariate t distributions

Song, P. X. K., Zhang, P. & Qu, A., Jul 1 2007, In : Statistica Sinica. 17, 3, p. 929-943 15 p.

Research output: Contribution to journalArticle

Multivariate T-distribution
Linear Mixed Effects Model
Likelihood Inference
Outlier
Maximum Likelihood

Robust tests in regression models with omnibus alternatives and bounded influence

Wang, L. & Qu, A., Mar 1 2007, In : Journal of the American Statistical Association. 102, 477, p. 347-358 12 p.

Research output: Contribution to journalArticle

Bounded Influence
Robust Tests
Regression Model
Smoothing
Alternatives
2006

Evaluation of the USDA National Clonal Pyrus Germplasm collection for resistance to Podosphaera leucotricha

Serdani, M., Spotts, R. A., Calabro, J. M., Postman, J. D. & Qu, P., Jun 2006, In : HortScience. 41, 3, p. 717-720 4 p.

Research output: Contribution to journalArticle

Podosphaera leucotricha
Pyrus
germplasm conservation
USDA
powdery mildew

Quadratic inference functions for varying-coefficient models with longitudinal data

Qu, A. & Li, R., Jun 1 2006, In : Biometrics. 62, 2, p. 379-391 13 p.

Research output: Contribution to journalArticle

Varying Coefficient Model
Longitudinal Data
testing
Nonparametric Hypotheses
Nonparametric Testing

Testing for order-restricted hypotheses in longitudinal data

Pilla, R. S., Qu, A. & Loader, C., Jun 1 2006, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 68, 3, p. 437-455 19 p.

Research output: Contribution to journalArticle

Longitudinal Data
Score Test
Testing
Test Statistic
Treatment Effects
2005

Laboratory measures of hemostasis and fibrinolysis after intravenous administration of E-aminocaproic acid in clinically normal horses and ponies

Heidmann, P., Tornquist, S. J., Qu, P. & Cebra, C. K., Feb 1 2005, In : American journal of veterinary research. 66, 2, p. 313-318 6 p.

Research output: Contribution to journalArticle

fibrinolysis
Aminocaproic Acid
hemostasis
Fibrinolysis
Hemostasis